Distributed processing software based modem

ABSTRACT

An all-digital software-only modem using distributed processing resources of cloud computing is provided. In particular, all processes that were previously supported by purpose built software, firmware, Field Programmable Gate Array (FPGA) hardware description language (HDL) firmware, and an Application Specific Integrated Circuit (ASIC) are in the instant disclosure supported entirely by a High Performance Computing (HPC) server inside a cloud computing environment.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a Non-Provisional patent application which claimspriority to U.S. Provisional Application No. 62/523,713, filed 22 Jun.2017, the disclosure of which is incorporated in its entirety herein byreference.

BACKGROUND

Since the introduction of communications, a purpose built device knownas a modulator/demodulator or as commonly known as a “modem” is utilizedto accept user information, modulate the user data into a format knownas a waveform and transmit over a medium. Conversely, a modem containsthe ability to receive a modulated waveform and demodulate the waveformto the original user data at the receiving end. The combined collectionof a modulator, transmission medium, and demodulator is known in the artas a communications path. Traditionally, a modem is a purpose builtdevice using specialized parts with specialized software and/or firmwareto create a modem. As of the last few years, a new concept known as asoftware defined modem (SDM) has entered practice using a relativelygeneric printed circuit board (PCB) set with a general modulator anddemodulator board with the intent that a general processor can support asoftware package on a somewhat generalized modem set to create a modem.

FIELD

The described invention uses an “all software” approach for the creationof a modem within the distributed computing fabric known as “cloudcomputing” that is supported with commercial off the shelf (COTS)hardware know as High Performance Computing (HPC) servers. The HPCarchitectures are now being supported by the distributed processingcompanies such as Amazon Web Services (AWS), Google Cloud Computing,Microsoft's Azure, etc. The architectures being supported by the cloudcomputing companies are also known to support or enable software definednetworking (SDN). The method described provides the ability for someoneskilled in the art, e.g., a software architect, network engineer, ormodem designer to understand the concepts described in this disclosure.

RELATED ART

This disclosure relates to methods of describing a modulator and/ordemodulator (modem) that is created using a high-level programminglanguage such as OpenCL, C, C++, etc. and implementing the high-levelprogramming language as an application on a cloud-based HPC platformwithin a distributed computing architecture. The described methodsprovide the description of how an all software modem can be createdusing a high-level computing language, and supported in a cloud-basedarchitecture for the creation of a communications waveform using anall-digital computing device. The described method can be utilized toprovide similar or higher performance in every aspect of a hardware ordedicated (purpose built) modem or a software defined modem (SDM) usingthe processing resources available within a cloud-based processingarchitecture. Furthermore, the described approach can perform thewaveform processing in real time.

In the prior art, a typical communications modem that supports acommunications link for satellite, tactical radio, or terrestrialcommunications is comprised of a user data interface and accepts userdata in the form of a digital stream utilizing various synchronous andasynchronous formats and protocols. The modulator portion of the modemaccepts the user data and performs the process of modulating the datainto a signal that is suitable for the transmission medium. The actualprocess of the transformation from the user data to the modulated signalis carried out by a purpose-built piece of hardware consisting ofdiscrete components, logic devices, and low-level programming languageto provide the directives for the hardware to accomplish the stepsrequired to create the final waveform to be transmitted over thetransmission medium. Conversely, the demodulator portion of the modemperforms the reverse process—again, all carried out by a purpose builtpiece of hardware consisting of discrete components, logic devices, andlow-level programming language to provide the directives for thehardware to accomplish the steps required to accept a waveform over thetransmission medium and perform the steps to return the user data.

The present disclosure covers how the steps required to accomplish themodulation of user data in the form of Ethernet frames and IP packetsmay be accomplish in an all-digital cloud computing environment usingCOTS processing hardware without the need of any purpose-built hardware.The entire modulation and demodulation process that comprises a modem,may be accomplished in an all software modem using cloud computingfabric that would be used for a SDN network.

BRIEF SUMMARY

This disclosure relates to, but is not limited to, providing anall-digital software only modem using the resources distributedprocessing resources of cloud computing. Traditionally, a typicalcommunications modem that supports a communications link for satellite,tactical radio, or terrestrial link is comprised of a network userinterface and accepts user data in the form of a digital streamutilizing various synchronous and asynchronous protocols. The modulatorportion of the modem accepts the user data and performs the process ofmodulating the data into a format that is suitable for the transmissionmedium. The actual process of the transformation from the user data tothe modulated stream is carried out by a purpose-built piece of hardwareconsisting of discrete components, logic devices, and low-levelprogramming language to provide the directives for the hardware toaccomplish the steps required to create the final waveform to betransmitted over the transmission medium. Conversely, the demodulatorportion of the modem performs the reverse process—again, all carried outby a purpose-built piece of hardware consisting of discrete components,logic devices, and low-level programming language to provide thedirectives for the hardware to accomplish the steps required to accept awaveform over the transmission medium and perform the steps to returnthe user data back to the digital stream.

The disclosed invention uses the described techniques and results in oneor more descriptions to support the creation and manipulation of an allsoftware digital modem using the distributed nature of the cloudcomputing fabric using the resources available today and planned for thefuture. The cloud computing fabric is also utilized to provide resourcesfor software defined networking.

Particular implementations described herein are and may use, but is notlimited to programs, computer programming languages, microprocessors,Application Specific Integrated Circuits (ASICs), Field ProgrammableGate Arrays (FPGAs), and combinations of CPUs and FPGAs to form HighPerformance Computing (HPC) servers.

Aspects of this disclosure relate to a method and system for creating anall software digital modem using the distributed processing resources ofcloud computing.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 shows the prior art using purpose built modulator and demodulatorhardware for supporting a waveform.

FIG. 2 shows the prior art using purpose built combination modulator anddemodulator (modem) hardware for supporting a waveform.

FIG. 3 shows the prior art of a modem's components to support themodulation and demodulation capabilities with purpose built hardware.

FIG. 4 shows the cloud computing fabric containing servers (processors),storage, applications, etc.

FIG. 5 shows the next generation HPC server technology containing aCPU/GPU and hardware acceleration card.

FIG. 6 shows the described invention with all modem processes (PROC1,PROC2, and PROC3) being supported by a single cloud computing server.

FIG. 7 shows the described invention with all modem processes (PROC1,PROC2, and PROC3) being supported by a multiple cloud computing serverlower left (PROC1), lower center server (PROC2), and lower right server(PROC3).

FIG. 8 shows the described invention with all modem processes (PROC1,PROC2, PROC3, and PROCn) being supported by a single cloud computingserver and passed to an edge device for converting the digital stream ofmodulated signal created in the cloud computing environment passed to anedge processing device.

FIG. 9 shows the described invention with all modem processes (PROC1,PROC2, and PROC3) being supported by a multiple cloud computing serverlower left (PROC1), lower center server (PROC2), and lower right server(PROC3), and several applications/processes being supported on otherservers for PROC4 and PROC5) and passed to an edge device for convertingthe digital stream of modulated signal created in the cloud computingenvironment for transmission over the medium.

FIG. 10 shows the described invention with all modem processes (PROC1 toPROC5 for the forward return path) being supported by a multiple cloudcomputing servers with flows between each of the processes residing onmultiple servers distributed throughout the cloud.

FIG. 11 shows the described invention with all modem processes (PROC1 toPROC5 for the forward path and PROCA to PROCC for the return path) beingsupported by multiple cloud computing servers with flows between each ofthe processes residing on multiple servers distributed throughout thecloud.

DETAILED DESCRIPTION

This disclosure, its aspects and implementations, are not limited to thespecific processing techniques, components, modulation formats,frequency examples, or methods disclosed herein. Many additionalcomponents and assembly procedures known in the art consistent with thecreation and manipulation of a waveform by a modulator and demodulator(modem) are in use with particular implementations from this disclosure.Accordingly, for example, although particular implementations aredisclosed, such implementations and implementing components may compriseany components, models, versions, quantities, and/or the like as isknown in the art for such systems and implementing components,consistent with the intended operation.

Particular implementations of an all software digital modem as anapplication using cloud computing resources for a communications systemis described. However, as will be clear to those of ordinary skill inthe art from this disclosure, the principles and aspects disclosedherein may readily be applied to any modulation, demodulation, andmodulation/demodulation device known hereafter as a modem for thecreation of a waveform to be carried over a transmission medium forIntermediate Frequency (IF), Radio Frequency (RF), and opticalcommunications systems, such satellite, tactical radio, and terrestrialtransmission without undue experimentation.

FIG. 1 illustrates the prior art of a particular implementation of acommunications transmission system wherein the forward path(transmitting station to a receiving station) where transmit stationcontains a transmit modulator and the receiver contains a receivingdemodulator. The modem in the prior art is a purpose-built device,typically a dedicated “box” that transmits and is called a modulator.The modulator outputs either an intermediate frequency (IF) that may beunconverted to a radio frequency (RF) or directly output from themodulator as a radio frequency, possibly power amplified, andtransmitted through free-space, to an airborne, or satellite repeatingrelay. At the receiving station, the receive modem in the prior art is apurpose-built device, typically a dedicated “box” that receives and iscalled a demodulator. The demodulator receives (inputs) either anintermediate frequency (IF) that may be down converted from a radiofrequency (RF) or directly input from the receive antenna as a radiofrequency signal.

FIG. 2 Is an alternate embodiment, of the prior art where the modulatorand demodulator are combined in a single device known as amodulator/demodulator also known as a modem. As a modem, each stationmay contain a modem that provides both transmit and receive capability,modulation and demodulation, respectively. The modem at each station mayprovide a full-duplex communications path.

FIG. 3 shows the prior art with each component of a purpose-built modemusing specialized hardware that comprises both the transmit ormodulation path, and the receive or demodulation path. The individualprocessing modules as specialized hardware devices and processingmodules written in a low-level specialized hardware description language(HDL) is shown.

For the specialized box that is shown in FIG. 3, the top row of boxes(functions) show the various stages that are required to accept userdata which is in many cases, but not limited to Ethernet (frames) and IP(packets). The user data is then accepted as bytes of data into anApplication Specific Integrated Circuit (ASIC), FPGA using a HDLlanguage, where it is framed into a suitable transport frame with headerinformation (control bytes, sequence number, type information, etc.) anderror checking is added. The next stage is the data is encoded withForward Error Correction (FEC) information for data recover at thedistant end. In many implementations, this function is a dedicatedhardware device or an ASIC. In the next stage, the data is then takenfrom a parallel format to a serial format by a firmware function such asan ASIC or FPGA using a HDL language. The next section accepts theserial data stream and then performs the mapping of the bits intosymbols to create a waveform constellation as modulated data. Themodulated data is then filtered (pulse shaped) with a digital filterimplemented in an ASIC or FPGA using a HDL language. In the specializedmodulator or modulator section of a modem, the output then flows to aDigital to Analog Converter (DAC) or to a digital output stream toanother stage of processing via Ethernet (frames) and IP (packets). Theentire process must pass between multiple technologies of ASIC, FPGAusing a HDL language, discrete components, etc. before a final waveformhas been created. Continuing with FIG. 3, the receive (demodulation)chain, performs the reverse functionality as the transmit (modulation)chain. First it is assumed an Analog to Digital Converter (ADC) hasaccepted an incoming analog waveform and digitized the signal or thesignal was received over a digital stream such as Ethernet (frames) andIP (packets). The input on the bottom row, right side show the firststep is to perform gain control and is performed by a hardware device toadd amplification or attenuation. The next step is to perform thedemodulation of the incoming stream into de-mapped data bits. This stepis performed by an ASIC or FPGA using a HDL language. The next step isto pass the stream to a FEC decoder. FEC decoding is a hardwareintensive function and it typically carried out by an ASIC or FPGA usinga HDL language. The next step is to verify the integrity of the data viaerror checking and is performed by an ASIC, FPGA using a HDL language,or a system processor. The next step is to de-frame the frames andremove any control and error checking overhead bits and pass to the userthe recovered digital stream.

As shown in FIG. 3, the entire configuration of the modem is controlledby a system controller. The system processor is a dedicated hardwaredevice that controls the entire modem. The system controller (controlprocessor) manages the entire unit's health, status, configuration,setup, error checking and in many cases performs the user interface.

FIG. 3 can also be used to describe a new technique called SoftwareDefined Modem (SDM) or Software Defined Radio (SDR). Similar to adedicated modem, the SDR technology supported by GNU Radio and companiessuch as Ettus Research, these are dedicated hardware boards that arepurpose built to support many types of waveforms, but ultimately rely ona dedicated/purpose built piece of processing hardware to supportwaveform processing.

FIG. 4 shows the high-level representation of cloud computingenvironment. As shown, the cloud computing or distributed processingarchitecture has moved all processing, applications, and storage intothe cloud. Companies such as Amazon Web Services (AWS), Microsoft Azure,Google Cloud Computing, etc. are developing massive infrastructures asdepicted in FIG. 4, and is commonly called a SDN.

FIG. 5 shows the next generation server/processor architecture. Nolonger can CPU/GPU based PC's processors keep up with the processingdemands of the user data/information required to be handled by theInternet. Instead, the cloud computing providers are adding hardwareassisted modules to their servers, e.g. Amazon Web Services F1architecture as well Microsoft's Azure. These new HPC architectures withhardware assist now offer the hardware acceleration capabilities tosupport real-time high-speed processing for SDN environments. With thesenew hardware processing enhancements, a new computing language has beenintroduced called OpenCL. OpenCL has been introduced to allow the codeto be written in a high level of abstraction that is hardware agnostic,and can take advantage of hardware acceleration technology in servers ina distributed computing environment. The described invention usesOpenCL, but any high-level language capable of supporting the combinedprocessing of a CPU/GPU with hardware assistance would be covered bycovered by the described invention.

FIG. 6 shows the novelty of the invention where all processes that aresupported by purpose built software, firmware, FPGA HDL firmware, and anASIC are being supported entirely by a the HPC server inside the cloudcomputing environment. The processes shown on FIG. 6 PROC1, PROC2, andPROC3 are representations of the various modem processes. It should benoted the PROC1, PROC2, PROC3, . . . PROCn (processes and/orapplications) are functional blocks or algorithms running on the CPU(×86) or any one of the hardware acceleration units, such as FPGA, GPU,or DSP, that combined constitute the implementation of a communicationswaveform. The functional blocks are targeted for particular HPC resourceaccording to the performance profiling of the waveform, which identifiesalgorithms that need to be hardware accelerated to achieve performancecomparable to purpose bunt hardware. The process representing the modemprocesses/applications are as follows:

It may be assumed user data is already available inside the cloudcomputing environment as Ethernet (frames) and IP (packets) and aredirected to the modem processes as follows:

PROC1 (application/process) provides the framing into a suitabletransport frame with header information (control bytes, sequence number,type information, etc.) and error checking is added.

PROC2 data is encoded with Forward Error Correction (FEC) informationfor bit error correction at the receiver. This function replaces thededicated hardware device or an ASIC and is entirely supported by ahigh-level software language (i.e. OpenCL) and by the HPC architecture.

PROC3 the data is then taken from a parallel format to a serial format.This replaces the firmware function supported by an ASIC or FPGA using aHDL language with a function known as a serializer and is entirelysupported by a high-level software language (OpenCL) targeting the HPCarchitecture.

PROCn (where n is the nth order process of a multiple processingarchitecture) then accepts the serial data stream and then performs themapping of the bits into symbols to create a waveform constellation asmodulated data.

PROCn+1 function replaces the digital filter implemented in an ASIC orFPGA using a HDL language and is entirely supported by a high-levelsoftware language (OpenCL) and is supported by the HPC architecture.

In the specialized modulator or modulator section of a modem, the outputthen flows to a Digital to Analog Converter (DAC) or to a digital outputstream to another stage of processing via Ethernet (frames) and IP(packets). FIG. 8 is an alternate embodiment, an edge device can beplaced on the edge of the cloud computing architecture, and egresses toa conversation device where it is then converted from an entirelydigital format to an analog format suitable for transmission.

Continuing with FIG. 6, the receive (demodulation) chain, performs thereverse functionality as the transmit (modulation) chain. In FIG. 6, thePROCn processes can be any function that is desired in any order forproviding the various stages of waveform processing within the cloudcomputing environment. As previously described, the receive section canoperate with a previously digitized waveform from another source in thecloud computing environment. As shown in FIG. 3, the input on the bottomrow, right side shows the first step is to perform gain control and isperformed by a hardware device to add amplification or attenuation. Thisfunction replaces the gain/attenuation control provided by a hardwaredevice, and is replaced by an application/process by a high-levelsoftware language (OpenCL) and is supported by the HPC architecture. Thenext step is to perform the demodulation of the incoming stream intode-mapped data bits. This step is performed by an ASIC or FPGA using aHDL language, and is replaced by an application/process, a high-levelsoftware language (OpenCL) and is supported by the HPC architecture. Thenext step is to pass the stream to a FEC decoder. FEC decoding is ahardware intensive function and it typically carried out by an ASIC orFPGA using a HDL language, and is replaced by an application/process, ahigh-level software language (OpenCL) and is supported by the HPCarchitecture. The next step is to verify the integrity of the data viaerror checking and is performed by an ASIC, FPGA using a HDL language,or a system processor, and is replaced by an application/process, ahigh-level software language (OpenCL) and is supported by the HPCarchitecture. The next step is to de-frame the frames and remove anycontrol and error checking overhead bits and pass to the user as digitalstream, and is typically provided by an ASIC or FPGA using an HDLlanguage or a system processor, and is replaced by anapplication/process, a high-level software language (OpenCL) and issupported by the HPC architecture.

FIG. 8 shows an alternate embodiment, an edge device Analog to DigitalConverter (ADC) has accepted an incoming analog waveform and digitizedthe signal or the signal was received over a digital stream such asEthernet (frames) and IP (packets) before passing the digitized waveforminto the cloud computing environment.

FIG. 7 shows an alternate embodiment where the processes may besupported by a separate processor (hardware or virtual) in them physicallocation or different location, using the same HPC architecture ordifferent architecture, and same or different CPU architectures. FIG. 9represents an edge device supporting the distributed processing of FIG.7. It is noteworthy, the architectures of FIGS. 4, 6, 7, 8, 9, 10, and11 showing the processing of the waveform may be completely flexible.

FIG. 10 shows the novelty of the invention where all processes aredistributed throughout the cloud computing environment. Flow 1represents the user network data entering the network containing thecloud computing architecture. It may be assumed user data isencapsulated as Ethernet (frames) and IP (packets). PROC1 provides theframing into a suitable transport frame with header information (controlbytes, sequence number, type information, etc.) and error checking isadded. FIG. 10 does not explicitly show a timing process, but thenetwork packets being passed between each of the servers and processesin the cloud computing environment must have a timestamp for allpackets, so it is clearly understood that in the control header of theall the information being moved from process to process has ahigh-resolution time stamp that maybe used such, but not limited to, theReal Time Protocol (RTP), etc.

Flow 2 directs the formatted network data from PROC1 to process PROC2provides the Forward Error Correction (FEC) information for data recoverat the distant end.

Flow 3 directs the waveform with FEC information from PROC2 to processPROC3 where the data is then taken from a parallel format to a serialformat.

Flow 4 directs the waveform data in serial format from PROC3 to processPROC4 then accepts the waveform data and then performs the mapping ofthe bits into symbols to create a waveform constellation as modulateddata.

Flow 5 directs the modulated data from PROC4 to process PROC5 thenaccepts the modulated data and then performs proper filtering and pulseshaping.

Flow 6 directs the pulse shaped waveform data from PROC5 to an edgedevice where it is accepted and transmitted to over an IF or RF radiolink.

Each of the processes PROC1 to PROCn are shown as representations of theability to process a waveform and is not meant to show the exactsequence or process how any one waveform would be processed. In manycases, additional process such as encryption, decryption, and transportsecurity (TRANSEC) may exist as a module that would be represented as anPROCn process.

In a preferred embodiment, the entire waveform creation, processing,manipulation, etc. that is traditionally supported by a purpose builtdevice or a semi-purpose built hardware platform to support a softwaredefined modem (SDM) or software defined radio (SDR) that relies onpurpose or semi-purpose built hardware can be entirely replaced by acloud computing application implemented in a high-level coding languagesuch as, but not limited to OpenCL or starting with an ISO C99high-level programming language such as C, C++, etc. and converting toOpenCL (or similar language). Any and all functions that could besupported by a propose built modulator, demodulator, or modem can becreated or represented as a high-level programming language andsupported on a HPC device inside a cloud computing environment. Theentire architecture may be supported as a 100% digital waveformrepresentation that is supported by a single hardware server with allprocesses being brought to bear on the waveform to form a modulator,demodulator, modulator/demodulator (Modem) or passed server to serverand a process (one or more) acts on the waveform as it traverses thecloud computing environment. It should be noted that the PROC1, PROC2,PROC3, . . . PROCn (processes and/or applications) are functional blocksor algorithms running on the CPU (×86) or any one of the hardwareacceleration units, such as FPGA, GPU, or DSP, that combined constitutethe implementation of a communications waveform. The functional blocksare targeted for particular HPC resource according to the performanceprofiling of the waveform, which identifies algorithms that need to behardware accelerated to achieve performance comparable to purpose builthardware.

The benefits of the described invention over the purpose built modem orpurpose built SDR board is as follows:

-   -   Provides a resilient architecture—if a path becomes compromised,        the path is rerouted through additional resources with the cloud        computing environment.    -   Provides redundant waveform processing resources—if a path or        server becomes unavailable, it is rerouted through additional        resources with the cloud computing environment.    -   Provides nearly unlimited waveform processing power—if a        waveform being processed reaches the limit of processing on a        server, then the resources of another server or servers within        the cloud computing environment.    -   Provides ephemeral operation—if the waveform process is only        required for use for brief period of time, the waveform may be        processed and torn down forever, brief period of time        (repeated), or moved to a new location.    -   Provides an abstracted hardware platform—the high-level waveform        processing may be performed in a manner that is not dependent on        the hardware resources of a particular server or manufacturer's        technology.    -   Provides a secure processing environment—the specifics,        complexities, and resources are not exposed to the outside world        and are not able to be physically stolen or exposed to an        unfriendly person, organization, or adversary

In an alternate embodiment, the entire waveform creation, processing,manipulation, etc. that is traditionally supported by a purpose builtdevice or a semi-purpose built hardware platform to support an SDM orSDR can be entirely replaced with a cloud computing applicationimplemented in a high-level coding language such as, but not limited toOpenCL or starting with C, C++, etc. and converting to OpenCL (orsimilar language) and each processing function. Any and all functionsthat could be supported by a propose built modulator, demodulator, ordemodulator can be created or represented as a high-level programminglanguage and supported on a HPC device inside a cloud computingenvironment. At the end of the waveform creation or waveform reception,an edge device may be used to perform the conversion to and from ananalog format. For the transmit chain, the resulting all-digitalwaveform would be converted from all-digital to an analog format by theedge device by a hardware device known as a Digital to Analog Convert(DAC). Conversely, for the receive chain, the edge device would receivean analog signal and then cover the analog signal to digital with ahardware device known as an Analog to Digital Converter (ADC). Once theconversion process has been performed, the entire process and flow wouldbe as is described in this disclosure.

The interface between the final cloud computing module and the edgedevice requires a framing format that provides for ensuring the messagesbeing sent between the cloud computing environment and the edge deviceare:

-   -   Directed to the correct destination or received from a known        edge device    -   Error free operation which may require FEC protection on the        data flow    -   Sequential order of all data with no missing or out of order        frames/packets    -   Time stamping of all data or a known amount of time/delay can be        accounted for to ensure frames/packets containing digital        waveform I/Q data are not arriving too late or overflowing    -   Encrypted data flows may be utilized    -   A flow control mechanism may be utilized to slow down or speed        up the passing of digital I/Q data

The benefits the described invention over the purpose built modem orpurpose built SDR board is as follows:

-   -   Provides an edge device that can be placed at any location with        access to the Internet or cloud edge.    -   Provides an architecture that scales as the processing        technology improves. The edge device is simply a conversion        device and will convert a waveform encoded as a digital stream        (I/Q samples) to or from the final analog format. The complexity        of the waveform processing remains within the cloud computing        fabric.    -   Provides a secure processing environment—only the modulated        digital I/Q waveform data is required to pass to and from the        edge device while the complexities and resources are not exposed        to the outside world and are not able to be physically stolen or        exposed to an unfriendly person, organization, or adversary.

EXAMPLES

The following are particular implementations with optimizationtechniques for all-digital cloud computing modem and the use of thesemethods are provided as non-limiting examples.

Example 1

A user requires data to be passed to an end satellite station. Using thedescribed invention, a flow is created to encapsulate the user data fortransport over the network as Ethernet frames and/or IP packets to thedata center. Furthermore, the IP cores (processes) are distributedthroughout the cloud computing environment. All components that comprisea complete digital modem are established and initialized and digitalsampled I/Q waveform data connection is established to a satelliteteleport with all-digital I/Q capability. The end user of the requireddata is located at the end of a satellite link. A repeating relaysatellite enables communications between the satellite teleport and endsatellite receiving station. The all software digital modem (created bythe cloud computing IP cores application/process) is enabled and acommunications path is established to the end user and the data istransferred.

Example 2

In particular implementations of the system described in example 1, areturn path may be established from the end user satellite terminalwhere a communications path back from the remote satellite terminal,over the satellite, to the satellite earth station, and the digital I/Qwaveform stream is received, demodulated, decoded, error checked,possibly decrypted, and passed to the original data user.

Example 3

A user requires data to be passed to an end tactical radio user. Usingthe described invention, a flow is created to encapsulate and transportuser data to the data center. Furthermore, the IP cores(applications/processes) are distributed throughout the cloud computingenvironment. All components that comprise a complete digital modem areestablished and initialized and digital I/Q waveform connection isestablished to a tactical radio base station with all-digital I/Qwaveform capability. The end user of the required data is located at theend of tactical radio link. A line of site communications path allowscommunications between the base station and end radio user. The allsoftware digital modem (created by the cloud computing IP coresapplications/processes) is enabled and a communications path isestablished to the end user and the data is transferred.

Example 4

In particular implementations of the system described in example 3, areturn path may be established from the end user tactical radio where acommunications path back from the remote tactical radio (hand helduser), over free space, to the tactical radio base station, and thedigital I/Q stream is received, demodulated, decoded, error checked,possibly decrypted, and passed to the original data user.

Example 5

A user requires data to be passed to an end satellite station. Using thedescribed invention, a flow is created to encapsulate and transport theuser data as Ethernet frames and/or IP packets over the network to thedata center. Furthermore, the IP cores (applications/processes) aredistributed throughout the cloud computing environment. All componentsthat comprise a complete digital modem are established and initializedand digital I/Q waveform data connection is established to an edgedevice supporting satellite communications via digital sampled I/Q datacapability. The end user of the required data is located at the end of asatellite link. A repeating relay satellite enables communicationsbetween the edge device supporting satellite capabilities and endsatellite receiving station. The all software digital modem (created bythe cloud computing IP cores) is enabled and a communications path isestablished to the end user and the data is transferred.

Example 6

In particular implementations of the system described in example 5, areturn path may be established from the end user satellite terminalwhere a communications path back from the remote satellite terminal,over the satellite, to the edge device with satellite capabilities, andthe digital I/Q stream is received, demodulated, decoded, error checked,possibly decrypted, and passed to the original data user.

Example 7

A user requires data to be passed to an end tactical radio user. Usingthe described invention, a flow is created to encapsulate and transportthe user data as Ethernet frames and/or IP packets over the network tothe data center. Furthermore, the IP cores (applications/processes) aredistributed throughout the cloud computing environment. All componentsthat comprise a complete digital modem are established and initializedand digital I/Q waveform data connection is established to an edgedevice supporting a tactical radio with all-digital sampled I/Qcapability. The end user of the required data is located at the end oftactical radio link. A line of site communications path allowscommunications between the edge device supporting tactical radiocapabilities and end radio user. The all software digital modem (createdby the cloud computing IP cores) is enabled and a communications path isestablished to the end user and the data is transferred.

Example 8

In particular implementations of the system described in example 7, areturn path may be established from the end user tactical radio where acommunications path back from the remote tactical radio (hand helduser), over free space, to the edge device supporting tactical radiocapabilities, and the digital I/Q stream is received, demodulated,decoded, error checked, possibly decrypted, and passed to the originaldata user.

1. A cloud supported modem system comprising: a modulation subsystemincluding; a computer device programmed to accept user data as a frameduser data stream; a forward error correction application programmed toperform bit correction of said framed user data stream; a formatconversion application programmed to convert the user data from parallelto serial format; a mapping application programmed to convert the serialformatted framed user data stream into a first modulated user datastream; a filter application programmed to electronically filter themodulated user data stream; and, a digital-to-analog converterconfigured to convert the modulated user data stream into a first analogmodulated communication waveform; wherein the digital waveformprocessing of the communication waveform, which includes the forwarderror correction application, the format conversion application, themapping application, and the filter application are each programswritten in high level programming language and supported by at least oneHigh Performance Computing (HPC) server with at least one CPU and atleast one hardware acceleration device in at least one cloud environmentto achieve real-time processing; a demodulation subsystem programmed toreceive a second analog modulated communication waveform including: ananalog-to-digital signal converter configured to convert the secondanalog modulated communication waveform into a second modulated userdata stream; a gain/attenuation application; a demodulation applicationprogrammed to convert the second modulated user data stream intodemapped data bits; a forward error correction (FEC) application; anerror checking application; and, a deframing application programmed toremove the framing format of the second modulated user data stream;wherein the digital waveform processing of the communication waveform,which includes the gain/attenuation application, the demodulationapplication, the forward error correction application, the errorchecking application, and the deframing application are each programswritten in high level programming language and supported by a cloudenvironment utilizing at least one High Performance Computing (HPC)server and at least one hardware acceleration device to achieve realtime processing in at least one cloud environment.
 2. The cloudsupported modem system of claim 1 further comprising an edge device,wherein said edge device transmits said first analog modulatedcommunication waveform and receives said second analog modulatedcommunication waveform.
 3. The cloud supported modem system of claim 1wherein the user data stream is received in real-time as network datafrom a user to be modulated by the cloud supported modem system.
 4. Thecloud supported modem system of claim 2 wherein the first modulated userdata stream is a first stream of packetized digital I/Q samples; and,wherein the first stream of I/Q samples are encapsulated in a frameformat having frame header and forwarded in real time to the edgedevice.
 5. The cloud supported modem system of claim 2 wherein thesecond modulated user data stream is a second stream of packetizeddigital I/Q samples received in real time from the edge device; whereinthe second stream of packetized digital I/Q samples and demodulated bythe demodulation subsystem to be forwarded in real time to a user. 6.The cloud supported modem system of claim 1 further comprising a storagedevice storing the user data wherein the user data stored in storagedevice is modulated by the modulation subsystem.
 7. The cloud supportedmodem system of claim 4 further comprising a storage device storing theuser data wherein the user data stored in storage device is modulated bythe modulation subsystem.
 8. The cloud supported modem system of claim 1further comprising a storage device storing the second modulated userstream.
 9. The cloud supported modem system of claim 5 furthercomprising a storage device storing the second modulated user streamwherein the second modulated user stream is stored as digitized I/Qsamples.
 10. The cloud supported modem system of claim 1 wherein each ofthe modulator subsystem, the demodulator subsystem, and a modem systemin which the digital waveform processing of the communication waveform;is supported by a high performance computing (HPC) server using a singleCPU.
 11. The cloud supported modem system of claim 1 wherein each of themodulator subsystem, the demodulator subsystem, and the modem systemwaveform processing is supported is supported by an HPC using at leastone CPU and at least one hardware acceleration device wherein thehardware acceleration device utilizes Field Programmable Gate Array(FPGA) technology.
 12. The cloud supported modem system of claim 1wherein each of the modulator subsystem, the demodulator subsystem, anda modem system digital waveform processing of the communicationwaveform”; is distributed across multiple HPC servers containing one ormore CPUs and one or more hardware acceleration devices.
 13. The cloudsupported modem system of claim 1 further comprising an external clockreference, wherein the external clock reference is input to themodulating subsystem and the demodulating subsystem as a common networkclock reference.
 14. The cloud supported modem system of claim 2 furthercomprising an external clock reference, wherein the external clockreference is input to the modulating subsystem, the demodulatingsubsystem, and the edge device as a common network clock reference. 15.The cloud supported modem system of claim 1 wherein the applications ofeach of the modulator subsystem and the demodulating subsystem cansupport a plurality of first and second analog communication modulatingwaveforms.
 16. The cloud supported modem system of claim 1 whereinOpenCL is used as the high-level language for each of the modulationapplications and the demodulation applications.